SlideShare a Scribd company logo
ECPGR Forage and Barley workshop
GBIF data portal
Dag Endresen
GBIF Norway
UiO Natural History Museum in Oslo
University of Oslo
Malmö, Sweden, March 16th 2017
Slides: CC-BY-4.0, GBIF.no
GBIF.org	visited		
15th	March	2017
Asia (lack of data)	
Africa (lack of data)
MAP OF NATIONAL PARTICIPANTS
Updated January 2017
participatio
Asia (lack of data)	
Africa (lack of data)
DATA PUBLISHED THROUGH GBIF.ORG
www.gbif.org/analytics/global
dataavailabilit
TOTAL DATA PUBLISHED BY COUNTRY
AS OF 15 MARCH 2016
All others
BE
ES
ZA
GB
NL
DE
AU
FR
SE
US
1 United States 337,528,963
2 Sweden 61,423,202
3 France 40,469,687
4 Australia 36,435,662
5 United Kingdom 29,635,764
6 Germany 28,480,795
7 Netherlands 26,075,010
8 Norway 24,189,098
9 South Africa 21,045,000
10 Spain 14,323,393
dataavailabilit
OCCURRENCE RECORDS PUBLISHED DURING 2016
BY COUNTRY
All others
BE
ES
DK
CO
NO
ZA
NL
GB
DE
US
1 United States 83,774,897
2 Germany 15,837,819
3 United Kingdom 15,217,220
4 Netherlands 13,098,430
5 South Africa 9,630,896
6 Norway 4,519,715
7 Colombia 4,122,621
8 Denmark 4,048,381
9 Spain 3,175,906
10 Belgium 2,366,452
http://www.gbif.org/country
dataavailabilit
GBIF provides a
data publishing
infrastructure
GBIF	provides	a	service	for	data	discovery	
global	registry	 data	portal	
that	is	dependent	on	resolvable	stable	iden=fiers	for	efficient	func=onality
Research
institute	
Biodiversity
Conservation	Biodiversity
Analysis	
GBIF
portal	
Global
information
systems	
Scientific
Research	
MULTIPLE-PURPOSE DATA SERVICES
Genebank
dataset	
Global Crop
Registries	
European
EURISCO
Catalog	
European
Crop
Databases	
GBIF	
MULTIPLE	DATA	EXPORT	SERVICES	FOR	EACH	GENEBANK	
11
Genebank
dataset	
European
EURISCO
Catalog	
MULTIPLE	DATA	IMPORT	SERVICES	FOR	EACH	DATA	PORTAL	
Genebank
dataset	
Genebank
dataset	
Genebank
dataset
Genebank
dataset	
Global Crop
Registries	
European
EURISCO
Catalog	
European
Crop
Databases	
GBIF	
	à	MULTIPLE-PURPOSE	DATA	EXPORT	SERVICES	
Crop
portals	
13
POSSIBLE	UPGRADED	PGR	NETWORK	
MODEL	
v  Each dataset is shared from
the holding gene bank.
v  The National Inventory (NI)
endorse all national gene
banks for EURISCO.
v  ECPGR Crop databases can
access passport data from
EURISCO and additional crop
specific data from the gene
bank IPT interface.
v  Standard data sharing tools
ensure that the genebank
dataset is available to other
relevant decentralized
thematic, regional or global
networks.
Illustra9on	from	the	GBIF	annual	
report	2009,	page	47.	
14
Use of GBIF-
mediated data
DATA DOWNLOAD REQUESTS BY COUNTRY, 2016
All others
IT
CN
IN
ZA
GB CO
ES
BR
MX
US
1 United States 14,700
2 Mexico 14,053
3 Brazil 7,437
4 Spain 6,443
5 Colombia 5,431
6 United Kingdom 5,195
7 South Africa 3,492
8 India 3,480
9 China 3,046
10 Italy 2,389
dataaccessandus
2016
2015
2014
2013
2012
2011
2010
2009
2008
0 125 250 375 500
52
89
148
169
229
249
350
407
428
DATAACCESSANDUSE
Peer-reviewed publications using GBIF-mediated data
PEER-REVIEWED
USES, BY COUNTRY
AND REGION, 2016
Oceania
North America
Latin America
Europe
Asia
Africa
1
Total # of papers by country
1 United States 148
2 United Kingdom 61
3 Germany 51
4 Brazil 50
5 Australia 48
6 China 41
6 Mexico 41
8 France 39
9 Spain 31
10 Canada 25
10 South Africa 25
Total # of papers by region
1 Europe 351
2 North America 173
3 Latin America 134
4 Asia 94
5 Africa 58
6 Oceania 54
dataaccessandus
2016
2016 SCIENCE REVIEW
Annual publication
summarizes more than 100
peer-reviewed articles that
rely on GBIF-mediated data.
Accompanying Sourcebook
includes more than 400
citations.
Download:
§  gbif.org/science-review
§  gbif.org/science-review-
sourcebook-2016
http://www.gbif.org/science-review
dataaccessandus
GBIF Data
examples of use
USING DATA THROUGH GBIF
GBIF has established itself as an
essential infrastructure underpinning
science and policy related to
biodiversity. Demonstrated by the
growing volume of peer-reviewed
research using data discovered and
accessed through GBIF.
Featured examples of use in
Agriculture:
http://www.gbif.org/newsroom/uses/
agriculture
FEATURED
RESEARCH
AGRICULTURE
Ramirez-Cabral	NYZ,	Kumar	L,	and	Taylor	S	(2016)	Crop	niche	modeling	projects	major	shiSs	in	common	bean	
growing	areas.	Agricultural	and	Forest	Meteorology.	Elsevier	BV,	102–113.	Available	at	doi:
10.1016/j.agrformet.2015.12.002.	Author	countries:	Australia,	Mexico.	108	601	species	occurrence	data	
records	used.	Crop:	Beans,	Phaseolus	vulgaris	L.	–	(GBIF	News	story)	
	Bunn,	C,	Läderach,	P,	Pérez	Jimenez,	JG,	Montagnon,	C,	&	Schilling,	T	(2015).	Mul9class	Classifica9on	of	Agro-
Ecological	Zones	for	Arabica	Coffee:	An	Improved	Understanding	of	the	Impacts	of	Climate	Change.	PloS	
One,	10(10),	e0140490.	doi:10.1371/journal.pone.0140490.	Author	countries:	Colombia,	Nicaragua,	United	
States.	Crop:	Arabica	coffee	(Coffea	arabica)	– GBIF	News	Story	
Dupin	J,	Matzke	NJ,	Särkinen	T	et	al.	(2016)	Bayesian	es9ma9on	of	the	global	biogeographical	history	of	the	
Solanaceae.	Journal	of	Biogeography	doi:10.1111/jbi.12898.	Author	countries:	United	States,	Australia,	
United	Kingdom.	Crop:	Potato,	Solanaceae	–	GBIF	News	Story	
	
Samy	AM	and	Peterson	AT	(2016)	Climate	Change	Influences	on	the	Global	Poten9al	Distribu9on	of	
Bluetongue	Virus.	PLOS	ONE.	Public	Library	of	Science	(PLoS)	11(3):	e0150489.	Available	at	
doi:10.1371/journal.pone.0150489.	Author	countries:	United	States,	Egypt.	40	species	occurrence	data	
records	used.	Crop:	Genus	Culicoides	(insect	pest)	--	GBIF	News	Story	
Idohou,	R	et	al.	(2013)	Na9onal	inventory	and	priori9za9on	of	crop	wild	rela9ves:	case	study	for	Benin.	Gene=c	
Resources	and	Crop	Evolu=on	60(4):1337-1352.	doi:10.1007/s10722-012-9923-6.	Author	countries:	
Benin,	China,	United	Kingdom.	266	CWR	species	data	used.	Crop:	Crop	Wild	Rela9ves	(CWR)	–
GBIF	News	Story	
Shabani,	F,	Kumar,	L,	and	Taylor,	S	(2012)	Climate	Change	Impacts	on	the	Future	Distribu9on	of	Date	Palms:	A	
Modeling	Exercise	Using	CLIMEX	V.	Magar,	ed.	PLoS	ONE,	7(10),	p.e48021.	
doi:10.1371/journal.pone.0048021.	Author	countries:	Australia.	163	species	occurrence	records	used.	Crop:	
date	palms	(Phoenix	dactylifera)	– GBIF	News	Story	
dataaccessandus
Well-stored	common	beans	(Phaseolus	
vulgaris)	by	ICIPE	licensed	under	CC	BY	2.0.	
"Coffea	arabica"	by		
Forest	and	Kim	Starr	licensed	under	CC	BY	2.0.
FEATURED
RESEARCH
AGRICULTURE
Ostrowski	M,	Prosperi	J,	and	David	J	(2016)	Poten9al	Implica9ons	of	Climate	Change	on	Aegilops	Species	
Distribu9on:	Sympatry	of	These	Crop	Wild	Rela9ves	with	the	Major	European	Crop	Tri9cum	aes9vum	and	
Conserva9on	Issues.	PloS	one	11(4)	e0153974.	doi:10.1371/journal.pone.0153974	
	Galluzzi,	G,	Dufour,	D,	Thomas,	E,	van	Zonneveld,	M,	Escobar	Salamanca,	AF,	Giraldo	Toro,	A,	…	Gonzalez	
Mejia,	A	(2015).	An	Integrated	Hypothesis	on	the	Domes9ca9on	of	Bactris	gasipaes.	PloS	One,	10(12),	
e0144644.	doi:10.1371/journal.pone.0144644.	Author	countries:	Colombia,	Costa	Rica.	Crop:	Peach	palm	
(Bactris	gasipaes)	--	GBIF	News	Story	
Solberg,	SØ	and	Chou,	YY	(2017)	Conserva9on	of	Indigenous	Vegetables	from	a	Hotspot	in	Tropical	Asia:	What	
Did	We	Learn	from	Vavilov?	Fron=ers	in	Plant	Science.	doi:10.3389/fpls.2016.01982	Author	country:	Taiwan.	
108	787	species	occurrence	records	used.	Crop:	Vegetables.	
	
Pranovi	F,	Anelli	Mon9	M,	Brigolin	D,	and	Zucchera	M	(2016)	The	Influence	of	the	Spa9al	Scale	on	the	Fishery	
Landings-SST	Rela9onship.	Fron9ers	in	Marine	Science.	Fron9ers	Media	SA	3.	Available	at	
doi:10.3389/fmars.2016.00143.	Author	countries:	Italy.	25	000	species	occurrence	data	records	used.	
Osawa	T,	Kohyama	K	and	Mitsuhashi	H	(2016)	Trade-off	rela9onship	between	modern	agriculture	and	
biodiversity:	Heavy	consolida9on	work	has	a	long-term	nega9ve	impact	on	plant	species	diversity.	Land	Use	
Policy.	Elsevier	BV,	78–84.	Available	at	doi:10.1016/j.landusepol.2016.02.001.	Author	countries:	Japan.	1000	
species	occurrence	data	records	used.	
Phillips	J,	Asdal	Å,	Brehm	JM,	Rasmussen	M,	and	Maxted	N	(2016)	In	situ	and	ex	situ	diversity	analysis	of	
priority	crop	wild	rela9ves	in	Norway.	Diversity	and	distribu9ons	22(11):	1112-1126.	doi:10.1111/ddi.12470.	
Author	countries:	United	Kingdom,	Portugal,	Norway.	
dataaccessandus
Aegilops	cylindrica	roadside	in	Montana	by		
Mar	Lavin	licensed	under	CC	BY	2.0.	
Peach	palm	(Bactris	gasipaes)	by	
CIFOR	licensed	under	CC	BY-NC	2.0
GBIF data portal, ECPGR working group (2017-03-16)
The	Global	Crop	Wild	
Rela9ve	Occurrence	
Database	include	data	
from	hundreds	of	data	
sources	–	including	GBIF	
	
The	CWR	Database	is	
again	published	in	GBIF	
(excluding	the	data	records	
origina=ng	from	GBIF)	
	
	
DOI:	10.15468/jyrthk
GBIF	provides	metrics	
for	the	use	of	datasets	
downloaded	from	the	
GBIF	portal	
	
Each	downloaded	set	of	records	
is	assigned	a	unique	DOI	for	
automa9c	cita9on	tracking	
	
	
doi:10.15468/dl.r1lcg8
doi:10.15468/dl.vx38vk
doi:10.15468/dl.d9hpfz
doi:10.15468/dl.d9hpfz
...
The	Nordic	CWR	Rela9ve	
Checklist	is	published	in	
GBIF	
	
doi:10.15468/itkype
The	Nordic	CWR	Rela9ve	
Checklist	is	published	in	
GBIF	
	
doi:10.15468/itkype
Add	your	own	
observa9ons	to	this	
Nordic	CWR	group	in	
iNaturalist	
	
Observa9ons	peer-
review	validated	by	
other	amateur	
naturalists	are	
published	in	GBIF
Figure.	 The	 predicted	
distribu9on	 of	 187	
p r i o r i t y	 C W R	 i n	
Norway	 under	 the	
c u r r e n t	 c l i m a 9 c	
condi9ons.	 Red	 areas	
indicate	 taxon-rich	
areas	 with	 up	 to	 124	
taxa	found	there,	and	
green	 areas	 indicate	
low	 taxon	 richness.	
Raster	 grid	 cell	 size	
0.0416,	approximately	
equal	to	4	×	8	km2	
CWR	conservaAon	
	
Development	of	a	conserva9on	
plan	for	Crop	Wild	Rela9ves	in	
Norway	extracted	the	CWR	
species	occurrence	data	points	
from	GBIF	
	
	
Phillips,	J.,	Magos	Brehm,	J.,	van	Oort,	B.	Asdal,	Å.,	
Rasmussen,	M.,	Maxted,	N.	(2017)		Climate	change	and	
na9onal	crop	wild	rela9ve	conserva9on	planning.	Ambio.	
DOI:10.1007/s13280-017-0905-y	
	
Phillips,	J.	Asdal,	Å.,	Brehm,	J.M.,	Morten	Rasmussen	M.,	
Maxted,	N.	(2016)	In	situ	and	ex	situ	diversity	analysis	of	
priority	crop	wild	rela9ves	in	Norway.	Diversity	and	
Distribu9ons,	22,	1112–1126.	DOI:	10.1111/ddi.12470	
Examples	of	use	for	
GBIF-mediated	data	
hrp://www.gbif.org/newsroom/uses/2016-phillips-et-al
ELC	maps	
	
Development	of	a	conserva9on	
plan	for	Crop	Wild	Rela9ves	in	
Norway	extracted	the	CWR	
species	occurrence	data	points	
from	GBIF	
	
	
Phillips,	J.,	Magos	Brehm,	J.,	van	Oort,	B.	Asdal,	Å.,	
Rasmussen,	M.,	Maxted,	N.	(2017)		Climate	change	and	
na9onal	crop	wild	rela9ve	conserva9on	planning.	Ambio.	
DOI:10.1007/s13280-017-0905-y	
	
Phillips,	J.	Asdal,	Å.,	Brehm,	J.M.,	Morten	Rasmussen	M.,	
Maxted,	N.	(2016)	In	situ	and	ex	situ	diversity	analysis	of	
priority	crop	wild	rela9ves	in	Norway.	Diversity	and	
Distribu9ons,	22,	1112–1126.	DOI:	10.1111/ddi.12470	
Examples	of	use	for	
GBIF-mediated	data	
hrp://www.gbif.org/newsroom/uses/2016-phillips-et-al
If	a	tree	falls	in	the	forest	and	
nobody	publish	the	event	in	
GBIF,	did	it	really	happen?	
	
Global	Biodiversity	Informa9on	Facility	
free	and	open	access	to	biodiversity	data.	
Lunch-seminar	30th	March	2017	NMH	Tøyen
Discover and
download data
GBIF data portal, ECPGR working group (2017-03-16)
hrps://demo.gbif.org/search?q=Hordeum%20vulgare
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
We	store	all	download	files	as	long	as	possible	
	
This	page	will	always	resolve,	but	the	file	itself	might	
be	removed	in	the	future.	
	
But	what	does	this	mean?	It	means	that	storage	
space	and	funding	isn't	infinite.	We	strive	to	store	all	
downloads	forever,	but	priori9ze	downloads	that	
have	been	cited.
GBIF data portal, ECPGR working group (2017-03-16)
Services to enable
data analysis
GBIF DATA PORTAL API
	
An interface to access
data published through
the GBIF network using
web services.
ROPENSCI : RGBIF
library(rgbif)
key <- name_backbone(name='Hepatica nobilis', kingdom=‘Plantae')$speciesKey
sp <- occ_search(taxonKey=key, return='data', hasCoordinate=TRUE, limit=1000)
gbifmap(sp)
Data citation
with DOI
SCHOLARLY DATA CITATION IS GOOD
RESEARCH PRACTICE
•  Data citation integrated part of the scholarly system
•  Supporting research validation and reproducibility
•  Enable reuse of research output and results
•  Tracking impact of published data
•  Scholarly structure to reward and credit people
involved in producing research data
DOI – DIGITAL OBJECT IDENTIFIER
Persistent resolvable identifiers
Standard for scholarly journal papers
Simplify citation of references
Used for measuring impact
Data	Publishers	
Any	tool	
	
	
	
	
Publisher	establishes	DOI	externally	
Any	tool	
	
	
	
	
Publisher	does	not	provide	DOI	Publisher	uses	IPT	to	register	dataset	with	DataCite	
IPT	
	
	
	
	
Na9onal	
DataCite	
Service	
GBIF.org	
	
	
	
	
	
DataCite	
Denmark	
GBIF	registers	datasets		
without	exis9ng	DOIs		
with	DataCite	Denmark	
GBIF & DIGITAL OBJECT IDENTIFIERS (DOI)
GBIF	dataset	DOI	launced	in	September	2014:	hrp://vimeo.com/107148220#t=6m28s
User	searches	
for	data	through	
GBIF.org	
DataCite	
Denmark	
GBIF.org	
	
	
	
	
	
GBIF	assigns	DOIs	to		
data	downloads	
Cleaned	data	
	
	
	
	
	
	
	
	
	
Data	
Data	arribu9on	
Dataset	DOI	
Researcher	
Paper	
Paper	DOI	
User	deposits	
cleaned	dataset	in	a	
repository	and	gets	
DOI	for	dataset	
Published	paper	
can	give	
resolvable	links	
to	GBIF	
download	and/
or	to	cleaned	
dataset	
User	cleans	
data	
User	
publishes	
paper	
GBIF	download	
	
	
	
	
	
	
	
	
	
Data	
Data	arribu9on	
Download	DOI	
Download	history	
	
	
	
	
	
Download	1	
.	.	.	
GBIF.org	creates	a	download	data	set	
GBIF & DIGITAL OBJECT IDENTIFIERS (DOI)
GBIF	dataset	DOI	launced	in	September	2014:	hrp://vimeo.com/107148220#t=6m28s
WHO HAS CITED YOUR DATA RESOURCE?
CrossRef services link citations between
scientific journal articles
With CrossRef you can discover who has cited your
research paper!
Services to link dataset citations (DataCite
DOI) with CrossRef systems
Towards services in CrossRef to discover who cited
your research data …
hrp://blog.crossref.org/?s=DataCite
(...)
Data Licenses
(machine-readable license)
LICENSING FOR DATA PUBLISHED THROUGH GBIF
http://www.gbif.org/terms/licences
GBIF	Governing	Board	established	in	2014	support	in	GBIF	for	three	licenses	
Status:	set	for	all	datasets	published	in	GBIF	since	August	2016		
GBIF	Portal	(status	December	2016)	
CC0 	 	57	%		(409	million	records)	
CC	BY	4.0 	30	%		(215	million	records)	
CC	BY	NC	4.0 	13	%		(93	million	records)
DATA LICENSE REGULATES THE POSSIBILITY FOR
REUSE OF DATA
•  CC0 data are made available for any use without restriction or
particular requirements on the part of users.
•  CC BY data are made available for any use provided that attribution
is appropriately given for the sources of data used.
•  CC NC data are made available for no-commercial use – however,
how to limit what is considered to be "commercial use"?
•  CC SA data are made available provided conditional that derived
products also are shared alike as CC SA – notice that this could block
desired commercial products?
•  CC ND data are made available for verification read-only, however no
modifications or derived products are allowed (blocking reuse)!
H2020 – OPEN DATA BY DEFAULT FROM 2017
Kilde:	OpenAIRE	&	EUDAT,	CC-BY-4.0,	2013
Darwin Core
data exchange standard
Collec9ons	provide	a	unique	resource	
–	when	they	are	digi=zed	and	made	
publically	available.	
	
Natural	scien9sts	can	study	historical	
samples	and	their	proper9es	for	
specimens	archived	together	with	
informa9on	about:	
	
What	–	Where	–	When	–	Who	
	
The	archived	specimens	provide	
access	for	scien9sts	of	today	to	DNA	
from	individual	specimens	sampled	
hundreds	of	years	ago	–	some	
specimens	even	pre-da=ng	Carl	
Linnaeus	(1707-1778).	
Illustra9on	from	Parkes,	K.	C.	(1963)
Darwin Core – a vocabulary of terms
Wieczorek	J,	Bloom	D,	Guralnick	R,	Blum	S,	Döring	M,	De	Giovanni	R,	Robertson	T,	and	Vieglais	D	(2012)	Darwin	Core:	An	Evolving	
Community-Developed	Biodiversity	Data	Standard.	PLoS	ONE	7(1):	e29715.	(doi:10.1371/journal.pone.0029715)
hrp://rs.tdwg.org/dwc/terms/		
Record-level	Terms	
dcterms:type	|	dcterms:modified	|	dcterms:language	|	dcterms:rights	|	dcterms:rightsHolder	|	dcterms:accessRights	|	dcterms:bibliographicCita9on	|	dcterms:references	|	insAtuAonID	|	
collecAonID	|	datasetID	|	insAtuAonCode	|	collecAonCode	|	datasetName	|	ownerIns9tu9onCode	|	basisOfRecord	|	informa9onWithheld	|	dataGeneraliza9ons	|	dynamicProper9es	
	
Occurrence	
occurrenceID	|	catalogNumber	|	recordNumber	|	recordedBy	|	individualCount	|	organismQuan9ty	|	organismQuan9tyType	|	sex	|	lifeStage	|	reproduc9veCondi9on	|	behavior	|	
establishmentMeans	|	occurrenceStatus	|	prepara9ons	|	disposi9on	|	associatedMedia	|	associatedReferences	|	associatedSequences	|	associatedTaxa	|	otherCatalogNumbers	|	
occurrenceRemarks		
	
Organism	
organismID	|	organismName	|	organismScope	|	assocoatedOccurrences	|	associatedOrganisms	|	previousIden9fica9ons	|	organismRemarks	
	
MaterialSample	|	LivingSpecimen	|	PreservedSpecimen	|	FossilSpecimen	
materialSampleID	
	
Event	|	HumanObservaAon	|	MachineObservaAon	
eventID	|	parentEventID	|	fieldNumber	|	eventDate	|	eventTime	|	startDayOfYear	|	endDayOfYear	|	year	|	month	|	day	|	verba9mEventDate	|	habitat	|	samplingProtocol	|	sampleSizeValue	|	
sampleSizeUnit	|	samplingEffort	|	fieldNotes	|	eventRemarks	
	
LocaAon	
locaAonID	|	higherGeographyID	|	higherGeography	|	con9nent	|	waterBody	|	islandGroup	|	island	|	country	|	countryCode	|	stateProvince	|	county	|	municipality	|	locality	|	verba9mLocality	|	
verba9mEleva9on	|	minimumEleva9onInMeters	|	maximumEleva9onInMeters	|	verba9mDepth	|	minimumDepthInMeters	|	maximumDepthInMeters	|	minimumDistanceAboveSurfaceInMeters	|	
maximumDistanceAboveSurfaceInMeters	|	loca9onAccordingTo	|	loca9onRemarks	|	verba9mCoordinates	|	verba9mLa9tude	|	verba9mLongitude	|	verba9mCoordinateSystem	|	verba9mSRS	|	
decimalLaAtude	|	decimalLongitude	|	geode9cDatum	|	coordinateUncertaintyInMeters	|	coordinatePrecision	|	pointRadiusSpa9alFit	|	footprintWKT	|	footprintSRS	|	footprintSpa9alFit	|	
georeferencedBy	|	georeferencedDate	|	georeferenceProtocol	|	georeferenceSources	|	georeferenceVerifica9onStatus	|	georeferenceRemarks	
	
GeologicalContext	
geologicalContextID	|	earliestEonOrLowestEonothem	|	latestEonOrHighestEonothem	|	earliestEraOrLowestErathem	|	latestEraOrHighestErathem	|	earliestPeriodOrLowestSystem	|	
latestPeriodOrHighestSystem	|	earliestEpochOrLowestSeries	|	latestEpochOrHighestSeries	|	earliestAgeOrLowestStage	|	latestAgeOrHighestStage	|	lowestBiostra9graphicZone	|	
highestBiostra9graphicZone	|	lithostra9graphicTerms	|	group	|	forma9on	|	member	|	bed	
	
IdenAficaAon	
idenAficaAonID	|	iden9fiedBy	|	typeStatus	|	iden9fica9onQualifier	|	dateIden9fied	|	iden9fica9onReferences	|	iden9fica9onVerifica9onStatus	|	iden9fica9onRemarks	
	
Taxon	
taxonID	|	scienAficNameID	|	acceptedNameUsageID	|	parentNameUsageID	|	originalNameUsageID	|	nameAccordingToID	|	namePublishedInID	|	taxonConceptID	|	scienAficName	|	
acceptedNameUsage	|	parentNameUsage	|	originalNameUsage	|	nameAccordingTo	|	namePublishedIn	|	namePublishedInYear	|	higherClassifica9on	|	kingdom	|	phylum	|	class	|	order	|	family	|	
genus	|	subgenus	|	specificEpithet	|	infraspecificEpithet	|	taxonRank	|	verba9mTaxonRank	|	scien9ficNameAuthorship	|	vernacularName	|	nomenclaturalCode	|	taxonomicStatus	|	
nomenclaturalStatus	|	taxonRemarks	
	
ResourceRelaAonship	(Auxiliary	Terms)	
resourceRelaAonshipID	|	resourceID	|	relatedResourceID	|	rela9onshipOfResource	|	rela9onshipAccordingTo	|	rela9onshipEstablishedDate	|	rela9onshipRemarks	
	
MeasurementOrFact	(Auxiliary	Terms)	
measurementID	|	measurementType	|	measurementValue	|	measurementAccuracy	|	measurementUnit	|	measurementDeterminedDate	|	measurementDeterminedBy	|	measurementMethod	|	
measurementRemarks
MCPD	(2012)	 Darwin	Core	 MCPD	(2012)	 Darwin	Core	
(missing)	 dwc:datasetID	 15.5	 COORDUNCERT	 dwc:coordinateUncertaintyInMeters	
(missing)	 dwc:occurrenceID	 15.6	 COORDDATUM	 dwc:geode9c.Datum	
1	 INSTCODE	 dwc:ins9tu9onCode	 15.7	 GEOREFMETH	 dwc:georeferenceSources	
2	 ACCENUMB	 dwc:catalogNumber	 16	 ELEVATION	 dwc:minimumEleva9onInMeters	
3	 COLLNUMB	 dwc:recordNumber	 17	 COLLDATE	 dwc:eventDate	
4	 COLLCODE	 g:collec9ngIns9tuteCode	 18	 BREDCODE	 g:breederIns9tuteID	
4.1	 COLLNAME	 dwc:recordedBy	 18.1	 BREDNAME	 g:breedingIns9tute	
4.1.1	 COLLINSTADDRESS	 (dwc:recordedBy)	 19	 SAMPSTAT	 g:biologicalStatus	
4.2	 COLLMISSID	 dwc:collec9onCode	 20	 ANCEST	 g:ancestralData,	g:purdyPedigree	
5	 GENUS	 dwc:genus	 21	 COLLSRC	 g:acquisi9onSource	
6	 SPECIES	 dwc:specificEpithet	 22	 DONORCODE	 g:donorIns9tuteID	
7	 SPAUTHOR	 dwc:scien9ficNameAuthorship	 22.1	 DONORNAME	 g:donorIns9tute	
8	 SUBTAXA	 dwc:infraspecificEpithet	 23	 DONORNUMB	 g:donorsIden9fier	
9	 SUBTAUTHOR	 (dwc:scien9ficNameAuthorship)	 24	 OTHERNUMB	 dwc:otherCatalogNumbers	
10	 CROPNAME	 dwc:vernacularName	 25	 DUPLSITE	 g:safetyDuplica9onIns9tuteID	
11	 ACCENAME	 g:breedingIden9fier	 25.1	 DUPLINSTNAME	 g:safetyDuplica9onIns9tute	
12	 ACQDATE	 g:acquisi9onDate	 26	 STORAGE	 g:storageCondi9on	
13	 ORIGCTY	 dwc:countryCode	 27	 MLSSTAT	 g:mlsStatus	
14	 COLLSITE	 dwc:locality	 28	 REMARKS	 dwc:occurrenceRemarks	
15.1	 DECLATITUDE	 dwc:decimalLa9tude	
15.2	 LATITUDE	 dwc:verba9mLa9tude	
15.3	 DECLONGITUDE	 dwc:decimalLongitude	
15.4	 LONGITUDE	 dwc:verba9mLongitude	
Mapping	of	DwC	to	to	MCPD	
66
Evaluation data
Evalua9on	data	is	published	
in	an	extension	(not	yet	
fully	searchable)	
	
Example:	
hrp://doi.org/10.15468/gkeszo		
	
	
hrp://www.gbif.org/occurrence/
1040328345/verba9m
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
GBIF data portal, ECPGR working group (2017-03-16)
Publish your biodiversity
data with GBIF
PUBLISH DATA IN GBIF
datapublishing
Step 1: data holding research institutes seek
endorsement as an approved data publisher.
Step 2: datasets are identified and converted to
standard Darwin Core format.
Step 3: datasets can be published directly from the
data node and/or with the assistance from a national
GBIF node (helpdesk).
Citizen science data platforms also publish in GBIF.
WHAT IS DATA PUBLISHING?
“Publishing” refers to making biodiversity datasets
publicly accessible and discoverable, in a standardized
form, via an access point, typically a web address (a
URL).
IPT
Data	publishing	guidelines	
hrp://www.gbif.org/resources?f[0]=gr_purpose%3A955
The	largest	challenge	for	efficient	
u9liza9on	of	biodiversity	
collec9on	data	are	lacking	access	
to	digiAzed	electronic	
informaAon	about	the	specimen	
objects	(Berendsohn	et	al.	2010).	
	
Global	Biodiversity	Informa9on	
Facility	(GBIF)	is	a	global	
organiza9on	with	a	mission	of	
"Free	and	open	access	to	
biodiversity	data".	
hrp://www.gbif.org		
Photo:	Ornithology	Collec9on,	Smithsonian	Na9onal	
Museum	of	Natural	History	Museum,	by	Chip	Clark.
Persistent Identifiers
Digital Object Identifiers (DOI)
The purpose of identifiers
…is to name things,
making it possible to refer to them.
Many	things	(in	GBIF)	are	named	123	
Catalog	number:	123	
GBIF	ID:	543392241	
urn:catalog:CAS:BOT:123	
Bigelowia	juncea	
Catalog	number:	123	
GBIF	ID:	1030591721	
UAMb:Herb:123	
Sphagnum	girgensohnii	
Catalog	number:	123	
GBIF	ID:	893477175	
Parides	erithalion	
Catalog	number:	123	
GBIF	ID:	1050327334	
Cinchona	ledgeriana	 Catalog	number:	123	
GBIF	ID:	931031820	
Bromus	kalmii	
Catalog	number:	123	
GBIF	ID:	283363	
urn:occurrence:Arctos:MVZ:Egg:123:164	
Mercurialis	ovata	
Catalog	number:	123	
GBIF	ID:	231564351	
Umbrina	canariensis	
Catalog	number:	123	
GBIF	ID:	896547722	
urn:occurrence:Arctos:MVZ:Egg:123:164	
Contopus	sordidulus	veliei	
NAME AMBIGUITY:
Including	machine-	
readable	formats	
urn:uuid:41d9cbb4-4590-4265-8079-ca44d46d27c3		
									dc:iden9fier	"urn:uuid:41d9cbb4-4590-4265-8079-	
ca44d46d27c3"
GBIF data portal, ECPGR working group (2017-03-16)
DATA CITATION PRINCIPLES
1.  Data to be legitimate citable products of research.
2.  Data citations giving scholarly credit and attribution.
3.  In scholarly literature, whenever claims are based on data, data should
always be cited.
4.  Persistent method for identification of data, that is machine actionable,
globally unique, universal.
5.  Data citation facilitate access to data or at least to metadata.
6.  Unique identifiers that persist even beyond the lifespan of the data.
7.  Data citation identify and access the specific data that support verification
of the claim (provenance, time-slice, version).
8.  Flexible, but attention to interoperability of practices across communities.
Data Citation Synthesis Group: Joint Declaration of Data Citation Principles. Martone M. (ed.) San Diego CA: FORCE11; 2014
"FAIR" DATA
Findable
–  assign persistent IDs, provide rich metadata, register
in a searchable resource (such as GBIF)
Accessible
–  Retrievable by their ID using a standard protocol,
metadata remain accessible even if data aren’t
Interoperable
–  Use formal, broadly applicable languages, use
standard vocabularies, qualified references (e.g.
Darwin Core)
Reusable
–  Rich, accurate metadata, clear licences, provenance,
use of community standards (e.g. Dublin Core, EML)
www.force11.org/group/fairgroup/fairprinciples
Slide source: OpenAIRE & EUDAT, CC-BY-4.0, 2013
GBIF news
LATEST NEWS
'Names in November'
workshop targets single shared
species list
Partnership with taxonomic
community aims for a single,
sustainable information service
for species names
Read more
63.8 million new observations
increase eBird total to 275
million records
Annual dataset refresh grows by
30 per cent, with biggest gains in
Asia and Europe
Read more
http://www.gbif.org/newsroom/summary
Photo credits: (center) courtesy of Peter Schalk.
(right) Abdomen of emerald ash borer (Argils planipennis) at 50x magnification by Macroscopic Solutions via Flickr. Photo licensed under CC BY-NC 2.0.
communication
Experts outline strategy for
improving alien species
information
Task group recommends actions
for reducing the impacts of
invasive species on biodiversity
Read more
LATEST NEWS
First BID grants provide nearly €1
million in funding to 23 African
projects
¤  EU-funded programme grantees
represent 34 organizations from
20 African countries (Read more)
¤  Open call for Caribbean and the
Pacific (read more)
¤  Read more about BID
http://www.gbif.org/newsroom/summary
Photos: (left) One Tree Plain, CC BY-NC-SA 2015 Geoff Livingston, (centre) Peacock pansy (Junonia almana), Ho Chi Minh, Vietnam.
CC BY-SA 2015 Pavel Kirillov via iNaturalist. (right) Photo courtesy of Nestor Engone Obiang.
communication
BIFA grants to benefit
14 Asian countries
Four project share €106,000 in funding
to enhance data publishing capacity of
current and future network members.
Read more
Belgium, Taiwan and Norway nodes
provided BIFA funded mentoring for the
AESEAN heritage parks in July 2016.
Read more (at gbif.no)
Appeal for help after damage
Gabon's national herbarium
Post-election riots in September
spared collections, but caused
major damage to the BID
grantee’s headquarters in
Libreville, Gabon.
Read English or French
LATEST NEWS
Four network projects
awarded 2016 capacity
enhancement support
grants (mentoring)
¤  A total of €23,300 in funding will
support the work of GBIF nodes
and partners in five countries
(Colombia, France, Guinea,
Portugal, Spain).
¤  Read more
http://www.gbif.org/newsroom/summary
Photos:. (center) courtesy of GBIF Portugal.
(right) Red-crested pochards (Netta rufina) off the eastern shore of Obersee, Switzerland, photo by roby 2016 CC BY-NC via iNaturalist.
communication
Four countries become
the GBIF network’s
newest national members
¤  Switzerland (voting)
¤  Ecuador (associate)
¤  Niger (associate)
¤  Nigeria (associate)
New Darwin Core templates released
Pre-configured Excel templates simplify
data formatting, preparation and
publication.
–  metadata template
–  checklist template
–  occurrence template
–  sampling event template
Read more
Template tool from GBIF.no
LATEST NEWS
http://www.gbif.org/newsroom/summary
Photos: (far right) © 2016 Williams Fagner.
communication
Data licensing milestone
All species occurrence datasets on
GBIF.org now carry standardized
Creative Commons licenses.
CC0 57 %
CC-BY 4.0 30 %
CC-BY-NC 4.0 13 %
Read initial announcement and
update
2016 Ebbe Nielsen Challenge
winner
Alejandro Ruete (Argentina,
postdoc at SLU, Sweden) seeks
to calculate ‘Where and when is
there enough data?’
Read more
2016 Young Researchers
Awards
Meet the winners!
–  Mexican PhD student
Juan M. Escamilla Mólgora
–  Brazilian Master’s student
Bruno Umbelino

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